scholarly journals Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes

2016 ◽  
Author(s):  
Fang Wang ◽  
Yunqing Rao ◽  
Chaoyong Zhang ◽  
Qiuhua Tang ◽  
Liping Zhang
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Estimation Of Distribution Algorithm ◽  
Spindle Speed ◽  
Mixed Integer ◽  
Practical Case ◽  
Flexible Flow Shop ◽  
Scheduling Scheme ◽  
Estimation Of Distribution ◽  
Energy Efficient Scheduling

With the increasing concern of environment, the energy-efficiency scheduling of manufacturing industry is becoming urgent and popular. In turning processes, both spindle speed and processing time can affect the final energy consumption and thus the spindle speed and scheduling scheme need to be optimized simultaneously. Since the turning workshop can be regarded as the flexible flow shop, this paper formulates a mixed integer linear programming model for energy-efficient scheduling of flexible flow shop. Accordingly, a new decoding method is developed by considering of the optimization of spindle speed and scheduling scheme simultaneously, and an estimation of distribution algorithm adopting the new decoding method is proposed to solve large-size problems. The parameters of this algorithm are determined by statistical technique with a simplified practical case. In order to validate the proposed method, a case from practical factories is studied, in which the makespan can be shortened by 25.22%, and the consumed energy can be saved by 5.48%. These results demonstrate the effectiveness of the proposed mathematical model and algorithm.

scholarly journals Estimation of Distribution Algorithm for Energy-Efficient Scheduling in Turning Processes

2016 ◽  
Vol 8 (8) ◽  
pp. 762 ◽  
Author(s):  
Fang Wang ◽  
Yunqing Rao ◽  
Chaoyong Zhang ◽  
Qiuhua Tang ◽  
Liping Zhang
Keyword(s):  
Energy Efficient ◽  
Estimation Of Distribution Algorithm ◽  
Estimation Of Distribution ◽  
Energy Efficient Scheduling

scholarly journals An Enhanced Estimation of Distribution Algorithm for Energy-Efficient Job-Shop Scheduling Problems with Transportation Constraints

2019 ◽  
Vol 11 (11) ◽  
pp. 3085 ◽  
Author(s):  
Min Dai ◽  
Ziwei Zhang ◽  
Adriana Giret ◽  
Miguel A. Salido
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Manufacturing Industry ◽  
Simulated Annealing Algorithm ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Estimation Of Distribution Algorithm ◽  
Mixed Integer ◽  
Shop Scheduling ◽  
Estimation Of Distribution

Nowadays, the manufacturing industry faces the challenge of reducing energy consumption and the associated environmental impacts. Production scheduling is an effective approach for energy-savings management. During the entire workshop production process, both the processing and transportation operations consume large amounts of energy. To reduce energy consumption, an energy-efficient job-shop scheduling problem (EJSP) with transportation constraints was proposed in this paper. First, a mixed-integer programming model was established to minimize both the comprehensive energy consumption and makespan in the EJSP. Then, an enhanced estimation of distribution algorithm (EEDA) was developed to solve the problem. In the proposed algorithm, an estimation of distribution algorithm was employed to perform the global search and an improved simulated annealing algorithm was designed to perform the local search. Finally, numerical experiments were implemented to analyze the performance of the EEDA. The results showed that the EEDA is a promising approach and that it can solve EJSP effectively and efficiently.

Scheduling Scheme Based on Smart Grid of Energy-Saving

2013 ◽  
Vol 340 ◽  
pp. 908-912
Author(s):  
Ke Zhang
Keyword(s):  
Smart Grid ◽  
Energy Saving ◽  
Energy Efficient ◽  
Power Industry ◽  
Ideal Solution ◽  
Scheduling Scheme ◽  
Electricity System ◽  
Scheduling Model ◽  
The Future ◽  
Energy Efficient Scheduling

The smart grid is an ideal solution of the future electricity system, and scheduling aspects of the smart grid, the nerve center of the most intelligent can best embody the intelligent characteristic, this article summarizes the development of smart grid technologies, energy-saving scheduling, and the smart grid ofsignificance analysis to explore the implementation of energy-saving dispatch to the power industry, an energy efficient scheduling model and highlight the superiority of the energy-saving scheduling in order to ensure the smooth implementation of energy-saving scheduling.

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